| Predicting risk of stillbirth and preterm pregnancies with machine learning A Koivu, M Sairanen Health information science and systems 8 (1), 14, 2020 | 77 | 2020 |
| Synthetic minority oversampling of vital statistics data with generative adversarial networks A Koivu, M Sairanen, A Airola, T Pahikkala Journal of the American Medical Informatics Association 27 (11), 1667-1674, 2020 | 47 | 2020 |
| Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome A Koivu, T Korpimäki, P Kivelä, T Pahikkala, M Sairanen Computers in Biology and Medicine 98, 1-7, 2018 | 30 | 2018 |
| Software security considerations for IoT A Koivu, L Koivunen, S Hosseinzadeh, S Laurén, S Hyrynsalmi, S Rauti, ... 2016 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2016 | 19 | 2016 |
| Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research JL Golob, TT Oskotsky, AS Tang, A Roldan, V Chung, CWY Ha, RJ Wong, ... Cell Reports Medicine 5 (1), 2024 | 18 | 2024 |
| Quality of randomness and node dropout regularization for fitting neural networks A Koivu, JP Kakko, S Mäntyniemi, M Sairanen Expert Systems with Applications 207, 117938, 2022 | 16 | 2022 |
| Evaluation of circulating cardiovascular biomarker levels for early detection of congenital heart disease in newborns in Sweden H Clausen, E Norén, S Valtonen, A Koivu, M Sairanen, P Liuba JAMA network open 3 (12), e2027561-e2027561, 2020 | 12 | 2020 |
| Adaptive risk prediction system with incremental and transfer learning A Koivu, M Sairanen, A Airola, T Pahikkala, W Leung, T Lo, DS Sahota Computers in Biology and Medicine 138, 104886, 2021 | 5 | 2021 |
| Newborn Screening for High-Risk Congenital Heart Disease by Dried Blood Spot Biomarker Analysis H Clausen, E Friberg, K Lannering, A Koivu, M Sairanen, M Mellander, ... JAMA Network Open 7 (6), e2418097-e2418097, 2024 | | 2024 |
| Methods, systems, and computer readable media for applying pairwise differential privacy to variables in a data set A Koivu, K Karlin, P Kivelä, M Jaakkola US Patent App. 17/969,507, 2024 | | 2024 |
| Synthetization, Distortion, and Geometric Correction of Isoelectric Focusing Gels for Newborn Screening S Mäntyniemi, E Lehtonen, A Koivu IEEE Access 10, 93488-93501, 2022 | | 2022 |
| Clinical Risk Modelling with Machine Learning: Adverse Outcomes of Pregnancy A Koivu Department of Computing, University of Turku, 2022 | | 2022 |
| Predictive Maintenance Mechanism with Vibration Measurements and Support Vector Machines A Koivu Department of New Technologies, University of Turku, Finland, 2017 | | 2017 |
Tapio PahikkalaProfessor, University of turku, Finland在 utu.fi 的电子邮件经过验证
